Fujitsu Develops High-Speed Technology to Process Deep Learning

Kawasaki, Japan, August 09, 2016 Fujitsu Laboratories Ltd. today announced the development of software technology that uses multiple GPUs to enable high-speed deep learning powered by the application of supercomputer software parallelization technology. A conventional method to accelerate deep learning is to use multiple computers equipped with GPUs, networked and arranged in parallel. The issue with this method is that the effects of parallelization become progressively harder to obtain as the time required to share data between computers increases when more than 10 computers are used at the same time. Fujitsu Laboratories has newly developed parallelization technology to efficiently share data between machines, and applied it to Caffe, an open source deep learning framework widely used around the world. To confirm effectiveness with a wide range of deep learning, Fujitsu…


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